new tests icelake Suite
1.0.0
System
Test suite extracted from new tests icelake.
pts/daphne-1.0.0
OpenMP ndt_mapping
Backend: OpenMP - Kernel: NDT Mapping
pts/daphne-1.0.0
OpenMP points2image
Backend: OpenMP - Kernel: Points2Image
pts/daphne-1.0.0
OpenMP euclidean_cluster
Backend: OpenMP - Kernel: Euclidean Cluster
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu
Harness: IP Batch All - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--ip --batch=inputs/ip/ip_all --cfg=bf16bf16bf16 --engine=cpu
Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_1d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--deconv --batch=inputs/deconv/deconv_3d --cfg=bf16bf16bf16 --engine=cpu
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
pts/onednn-1.5.0
--matmul --batch=inputs/matmul/shapes_transformer --cfg=bf16bf16bf16 --engine=cpu
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
pts/build-linux-kernel-1.10.2
Time To Compile
system/wireguard-1.0.1